{"id":"W1559260332","doi":"10.3917/riss.177.0457","title":"Le Programme des Centres de données de recherche au Canada","year":2003,"lang":"fr","type":"article","venue":"Revue internationale des sciences sociales","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005341982,0.0001800717,0.0002300216,0.00009808748,0.002765449,0.000402833,0.0009154007,0.0001374746,0.0002459877],"category_scores_gemma":[0.005280418,0.0001978119,0.0001742942,0.001009978,0.008380319,0.0006352395,0.00008263094,0.0002638561,0.0000148802],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006381734,"about_ca_system_score_gemma":0.02770672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9251313,"about_ca_topic_score_gemma":0.9933228,"domain_scores_codex":[0.9956155,0.002030913,0.0003418587,0.0004029554,0.0005644521,0.001044278],"domain_scores_gemma":[0.997425,0.001761074,0.0002248427,0.0001191204,0.000186557,0.0002833992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001333267,0.0001253538,0.1326151,0.00006624015,0.00006421288,0.00001419848,0.01071898,0.0002855674,0.00007803596,0.7853421,0.0004921833,0.0701967],"study_design_scores_gemma":[0.0002286437,0.00005686673,0.01880519,0.0007663034,0.00008851634,0.00004132451,0.03642805,0.001536511,0.0005387823,0.4928487,0.4481142,0.0005469428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.616455,0.007068559,0.003745329,0.008150621,0.0008545537,0.000168549,0.00009745421,0.00004160436,0.3634184],"genre_scores_gemma":[0.9323444,0.002911904,0.03039586,0.0002613551,0.000716106,0.000017009,0.00001141821,0.00001426034,0.03332767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447622,"threshold_uncertainty_score":0.9985328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.428113932352814,"score_gpt":0.3994244967742418,"score_spread":0.02868943557857218,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}